Cloud Engineer

CirrusLabs

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience with Azure Cloud services, particularly Azure Databricks
  • Expertise in Infrastructure-as-Code with Terraform and HCL
  • Familiarity with CI/CD pipeline tools like GitHub Actions and Dependabot
  • Experience in managing Databricks at an enterprise level
  • Knowledge of Unity Catalog, Delta Tables, and Apache Spark
  • Proficient in Python and SQL; R language skills are a bonus
  • Background in Software Engineering preferred

Responsibilities

  • Design and implement cloud solutions using Azure services
  • Manage Databricks resources and configurations
  • Automate deployments using Infrastructure-as-Code principles
  • Develop and maintain CI/CD pipelines with GitHub Actions
  • Collaborate with cross-functional teams on data engineering projects
  • Ensure security and compliance of cloud infrastructure
  • Support machine learning model lifecycle management when needed

Benefits

  • Onsite work requirement in Spring, Texas
  • Flexible interview process via Zoom video
  • Opportunity to work with a cutting-edge cloud technology stack
  • Collaborative team environment with a focus on continuous learning
  • Chance to refine skills in a rapidly evolving Azure ecosystem
Full Job Description
Cloud Engineer x2

- Experience with Azure Cloud PaaS service (specialty in Azure Databricks)
o Prefer Experience with Azure Virtual Networks, Azure Firewalls, Private Endpoints, Network Security Groups, Azure Databricks Access Connector, and other PaaS services.
- Experience with Infrastructure-as-Code Deployments (specialty in Terraform and the HashiCorp Language (HCL))
- Has worked with GitHub Actions and Dependabot before.
- Experience with Databricks Administration at an Enterprise Scale.
- Experience with Unity Catalog, Delta Tables, Delta Live Tables, Cluster Provisioning, Apache Spark, and Databricks Job Submissions.
- Experience with Python, SQL (and R to a lesser extent is optional and nice to have).
- Software Engineering and Software Development background is preferred.
- Working understanding of Machine Learning Model Lifecycle management is preferred, but not required.
- Optional, but not required, work with ServiceNow integration (nice to have).

*Candidates must be onsite 5 days/week Spring, Texas
*Interviews will be via Zoom Video - 30 minutes

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